The scientific diagnosis and treatment of patients with diabetes require frequent blood
glucose testing and insulin delivery to normoglycemia. Therefore, an artificial pancreas with …

This work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of
blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The …

We apply Monte Carlo simulation for performance quantification and tuning of controllers in
nonlinear closed-loop systems. Computational feasibility of large-scale Monte Carlo …

In this work, we present a switching nonlinear model predictive control (NMPC) algorithm for
a dual-hormone artificial pancreas (AP), and we use maximum likelihood estimation (MLE) …

Background/Objectives: Managing blood glucose levels effectively remains a significant
challenge for individuals with diabetes. Traditional methods often lack the flexibility needed …

For people with type 1 diabetes and some with type 2 diabetes, the problem of insulin
titration, ie finding an adequate basal rate of insulin, is a complex and time-consuming task …

A closed-loop controller of insulin supply, often known as an artificial pancreas, is used to
treat type 1 diabetes. This research presents the status of closed-loop control systems and …

We propose a model-free artificial pancreas (AP) for people with type 1 diabetes. The
algorithmic parameters are tuned to a virtual population of 1,000,000 individuals, and the AP …

Artificial pancreas systems reduce glycemic variability and improve glucose control
compared to conventional pump therapy, yet users are still required to count and enter the …